# A tibble: 1,000 × 9
order_id product_id user_id product_name aisle_id aisle department department_id
<int> <int> <int> <chr> <int> <chr> <chr> <int>
1 764640 24307 62787 Chunky Blue Chee… 89 salad dre… pantry 13
2 2190647 21137 59753 Organic Strawber… 24 fresh fru… produce 4
3 190523 34283 122574 Fudgsicle No Sug… 37 ice cream… frozen 1
4 1504527 14233 199450 Natural Artesian… 115 water sel… beverages 7
5 1762556 34358 162678 Garlic 83 fresh veg… produce 4
6 3170814 24852 82433 Banana 24 fresh fru… produce 4
7 2216610 4464 189448 Fruit Spread, De… 88 spreads pantry 13
8 222884 21137 129416 Organic Strawber… 24 fresh fru… produce 4
9 1025981 4605 103552 Yellow Onions 83 fresh veg… produce 4
10 3105153 8073 111 Basmati Ready Ri… 4 instant f… dry goods… 9
# … with 990 more rows, and 1 more variable: order_number <int>---
title: "DashBoard"
output:
flexdashboard::flex_dashboard:
orientation: columns
vertical_layout: fill
source: embed
---
```{r setup, include=FALSE}
library(flexdashboard)
library(tidyverse)
library(p8105.datasets)
library(plotly)
```
```{r data_cleaning}
data("instacart")
instacart =
instacart%>%
sample_n(1000) %>% # select 1000 observations
select(order_id, product_id, user_id, product_name, aisle_id, aisle, department, department_id, order_number)
```
Column {data-width=850}
-----------------------------------------------------------------------
### The boxplot of total product numbers within aisle
```{r}
instacart %>%
group_by(aisle, aisle_id, product_name) %>%
summarize(sum = sum(order_number)) %>%
mutate(aisle= fct_reorder(aisle, sum)) %>%
plot_ly(
y = ~ sum,
x = ~ aisle,
type = "box",
color = ~aisle,
colors = "viridis"
)
```
Column {data-width=350}
-----------------------------------------------------------------------
### Chart B
```{r}
instacart %>%
group_by(aisle, aisle_id, product_name) %>%
summarize(sum = sum(order_number)) %>%
mutate(text_label = str_c("Product :", product_name,"\nAisle:", aisle)) %>%
plot_ly(
x = ~aisle_id, y = ~sum, color = ~sum, text = ~ text_label,
alpha = 0.5, type = "scatter", mode = "markers")
```
### Chart C
```{r}
instacart
```